Evidence map›Paper›PMID 39258552›Full record

ArticleJournal of the American Heart Association2024

Extensive Dysregulation of Phenylalanine Metabolism Is Associated With Stress Hyperphenylalaninemia and 30-Day Death in Critically Ill Patients With Acute Decompensated Heart Failure.

Wei-Siang Chen, Min-Hui Liu, Yi-Liang Tsou, Huang-Ping Wu, Hsuan-Ching Lin, Chung-Yu Liang, Chao-Hung Wang

Abstract read
In one paragraph

Article in Journal of the American Heart Association, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

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Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

4 citing papers in PubMed.

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4 · The record

Corrections and comments

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5 · Who and what money

Authors and funding

7 authors.

Wei-Siang ChenHeart Failure Research Center Department of Cardiology Chang Gung Memorial Hospital Keelung Taiwan.
Min-Hui LiuHeart Failure Research Center Department of Cardiology Chang Gung Memorial Hospital Keelung Taiwan.
Yi-Liang TsouHeart Failure Research Center Department of Cardiology Chang Gung Memorial Hospital Keelung Taiwan.ORCID 0000-0003-3454-1617
Huang-Ping WuDivision of Pulmonary, Critical Care and Sleep Medicine Chang Gung Memorial Hospital Keelung Taiwan.ORCID 0000-0002-8906-4566
Hsuan-Ching LinHeart Failure Research Center Department of Cardiology Chang Gung Memorial Hospital Keelung Taiwan.ORCID 0000-0002-5517-5196
Chung-Yu LiangHeart Failure Research Center Department of Cardiology Chang Gung Memorial Hospital Keelung Taiwan.
Chao-Hung WangHeart Failure Research Center Department of Cardiology Chang Gung Memorial Hospital Keelung Taiwan.ORCID 0000-0001-5468-4354

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundStress hyperphenylalaninemia predicts elevated mortality rates in patients with acute decompensated heart failure (ADHF). This study investigated the metabolic pathways underlying this association and identified a unique metabolic phenotype underlying the association between stress hyperphenylalaninemia and adverse outcomes in ADHF. METHODS AND

resultsThis was a retrospective cohort study. We enrolled 120 patients with ADHF in an intensive care unit (60 with a phenylalanine level ≥112 μM, 60 with a phenylalanine level <112 μM), and 30 controls. Plasma phenylalanine-derived metabolites were measured, and participants were evaluated for 30-day death. Patients with ADHF had extensive activations of the alternative pathways for metabolizing phenylalanine, leading to the levels of phenylalanine-derived downstream metabolites 1.5 to 6.1 times higher in patients with ADHF than in the controls (all

conclusionsIn patients with ADHF, extensive dysregulation of the alternative pathways for metabolizing phenylalanine was correlated with stress hyperphenylalaninemia and a distinct metabolic phenotype on the phenylalanine-tyrosine-homogentisic acid-succinylacetone axis. Both stress hyperphenylalaninemia and metabolic dysregulation on this axis were associated with poor outcomes.

Indexed as

Critical IllnessHeart FailurePhenylalanineAcute DiseaseAgedBiomarkersFemaleHumansMaleMiddle AgedPhenotypePhenylketonuriasPrognosisRetrospective StudiesRisk FactorsTime FactorsBiomarkersPhenylalaninedeathheart failureintensive care unitmetabolismphenylalanine

Identifiers

PMID39258552
PMCPMC11935636

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.